Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal PROtek : Jurnal Ilmiah Teknik Elektro Rang Teknik Journal
Yamashika, Herris
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
PENGUJIAN KARATERISTIK PENGISIAN BATERAI DARI GENERATOR DC MAGNET PERMANEN MENGGUNAKAN SOLAR CHARGING CONTROLLER Yamashika, Herris; Kamil, Mahyessie
Rang Teknik Journal Vol 4, No 1 (2021): Vol. 4 No. 1 Januari 2021
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.408 KB) | DOI: 10.31869/rtj.v4i1.2280

Abstract

Penelitian ini melakukan pengujian karateristik pengisian baterai yang menggunakan generator DC magnet permanen sebagai sumber, dan pengaturan pengisian baterai menggunakan Solar Charging Controller (SCC) yang sering dipakai sebagai pengatur pengisian dari panel surya. Pengujian ini dilakukan untuk mengetahui nilai tegangan dan rpm minimal generator agar baterai dapat terisi. Pelaksanaan pengujian dilakukan menggunakan generator DC magnet permanen dengan kapasitas 250 watt, 24 Volt, pada putaran 2750 rpm. Genarator ini dihubungkan ke SCC untuk mengatur pengisian baterai VRLA 12 Volt 7 Ah, dan beban lampu 12 Volt 5 Watt sebanyak 20 buah. Sebagai penggerak mula, digunakan motor induksi 3 fasa yang putarannya dapat diatur melalui Variable Speed Drive (VSD). Parameter arus dan tegangan dari masing-masing generator, baterai, dan beban lampu akan diamati. Untuk mengetahui putarang generator, rpm meter digunakan untuk mengetahui putaran generator. Dari hasil pengujian diperoleh bahwa tegangan minimum generator agar dapat mengisi baterai adalah 12.3 Volt pada putaran 1630 rpm.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
PEMANFAATAN SINYAL PUTARAN GENERATOR DARI DCS UNTUK PENGGANTIAN SPEED RELAY ELEKTRO MEKANIK PADA SISTEM EKSITASI GENERATOR HIDRO Hadi, Mustaqimul; Wahyudi, Fikri; Yamashika, Herris
Rang Teknik Journal Vol 9, No 1 (2026): Vol. 9 No. 1 Januari 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/rtj.v9i1.7621

Abstract

The Maninjau Hydroelectric Power Plant (HEPP) faces technical challenges in its generator excitation system due to failures in the Type 13 electromechanical speed relay, a critical component in the excitation start-up sequence. This relay has not only lost accuracy but is also obsolete and difficult to procure in the market. Its malfunction poses the risk of excitation sequence failure, which may lead to damage in the Automatic Voltage Regulator (AVR), voltage meter disturbances, and even complete unit start-up failure.This study aims to replace the function of the electromechanical speed relay with a system utilizing generator rotational speed signals available through the Distributed Control System (DCS). The Root Cause Problem Solving (RCPS) method, field observation, and priority matrix analysis were employed to evaluate the most optimal replacement alternative. The results indicate that using a 24VDC relay based on signals from the Speed Sensor Gear (SSG) and digital signals from the DCS provides the best solution. The new system enables a more precise excitation process, easier installation, improved safety, as well as real-time monitoring and full integration with digital control systems.The implemented modification demonstrates that the excitation system becomes more reliable and efficient, effectively overcoming the previously frequent excitation sequence failures. Furthermore, the system is considered more economical and universal, while ensuring compatibility with future developments in digital-based power plant technology. Overall, this research makes a significant contribution to the modernization of hydroelectric control systems, in line with the sustainable and technology-driven development of national power infrastructure.Keywords: Speed Relay, DCS, Excitation System, Hydroelectric Power Plant, Generator Rotational Speed, Control Modernization
PENINGKATAN SAVING KWH DAN PENEKANAN SUSUT NON-TEKNIS MELALUI OPTIMALISASI P2TL DI PT PLN (PERSERO) ULP MUARA TEBO Hasanah, Mardini; Puspitasari, Pipit; Ramadan, Surya; Yamashika, Herris
Rang Teknik Journal Vol 9, No 1 (2026): Vol. 9 No. 1 Januari 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/rtj.v9i1.7622

Abstract

Electricity is an essential need in almost all human activities, making it a vital component of everyday life. However, in the process of distributing it to customers, there is often a difference between the energy delivered and the energy sold, known as energy loss or shrinkage. This shrinkage can be categorized into two types, namely technical and non-technical shrinkage. PT PLN (Persero) uses the Jogja formula to map and analyze these two types of shrinkage, allowing a percentage comparison between technical and non-technical shrinkage. The focus of this research is on efforts to overcome non-technical shrinkage, especially in Muara Tebo ULP. PT PLN (Persero) implements preventive measures, including public education on the efficient and safe use of electrical energy, as well as the routine implementation of the Electricity Usage Control (P2TL). The purpose of these measures is to reduce non-technical losses that occur in the use of electricity. The results of the P2TL implementation in ULP Muara Tebo showed an increase in average kWh generation from 193,193 kWh in the January to May period to 216,582 kWh in June. This increase contributed significantly to the reduction of total shrinkage by 2.51% in June. This research confirms that a structured enforcement and education strategy can effectively improve energy distribution efficiency and reduce non-technical losses, supporting the overall operations of PT PLN (Persero).Keywords: energy loss, non-technical loss, formula jogja, P2TL
Co-Authors Hadi, Mustaqimul Hasanah, Mardini Kamil, Mahyessie Novizon, Novizon Puspitasari, Pipit Qatrunnada, Rusvaira Ramadan, Surya Sitti Amalia Wahyudi, Fikri Yusreni Warmi